SASSIE Arctic Field Campaign Summary Ice Concentration Rankings from ML analysis of SBAND Images Fall 2022
This dataset contains ice concentration rankings of S-band images from the S-BAND marine navigation radar collected during the 2022 Salinity and Stratification at the Sea Ice Edge (SASSIE) campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. Images from the radar were digitized and saved every 10-60 seconds on days that the R/V Wolstad was in or around ice. Ice concentration rankings ranging from 0 to 3 determined by VGG19 Machine Learning Model. L2 summary data are available in NetCDF format.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"026:00"
]
|
| contactPoint |
{
"fn": "Earthdata Forum",
"@type": "vcard:Contact",
"hasEmail": "mailto:earthdata-support@nasa.gov"
}
|
| description | This dataset contains ice concentration rankings of S-band images from the S-BAND marine navigation radar collected during the 2022 Salinity and Stratification at the Sea Ice Edge (SASSIE) campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. Images from the radar were digitized and saved every 10-60 seconds on days that the R/V Wolstad was in or around ice. Ice concentration rankings ranging from 0 to 3 determined by VGG19 Machine Learning Model. L2 summary data are available in NetCDF format. |
| distribution |
[
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"downloadURL": "http://podaac.jpl.nasa.gov/sassie"
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|
| identifier | 10.5067/SASSIE-SBAND-ML |
| keyword |
[
"earth-science-radar-spectral-engineering",
"earth-science-sea-ice-cryosphere-sea-ice-concentration",
"earth-science-sea-ice-oceans-sea-ice-concentration"
]
|
| landingPage | https://podaac.jpl.nasa.gov/CitingPODAAC |
| modified | 2026-02-17 |
| programCode |
[
"026:000"
]
|
| publisher |
{
"name": "NASA/JPL/PODAAC",
"@type": "org:Organization"
}
|
| spatial |
"["GEODETIC",[{"NorthBoundingCoordinate":75.5,"WestBoundingCoordinate":-170.5,"EastBoundingCoordinate":-138.0,"SouthBoundingCoordinate":67.5}]]"
|
| temporal | 2022-09-08/2022-09-08 |
| theme |
[
"Earth Science"
]
|
| title | SASSIE Arctic Field Campaign Summary Ice Concentration Rankings from ML analysis of SBAND Images Fall 2022 |
